Thank you Paul. That is exactly it. I guess I was confused by the example
in the help. The addition of your example would be a great addition to the
help file.
Kurt
On 12 December 2012 23:56, Paul Hobson wrote:
>
>
> On Wed, Dec 12, 2012 at 7:55 AM, Forrester, Kurt <
> kurt.forrester@gmail
On Wed, Dec 12, 2012 at 7:55 AM, Forrester, Kurt <
kurt.forrester@gmail.com> wrote:
> ax.set_xlim(0.5, 2)
> ax.set_xscale('log', basex=2, subsx=range(2,9))
>
Kurt,
That `subsx` kwarg is tricky. Does this example get you closer to what you
want?
import numpy as np
import matplotlib.pyplot a
I cannot seem to get the following code produce what I expect. I want minor
tick marks between my major ticks on a base 2 logx plot.
ax = axes()
ax.set_xlim(0.5, 2)
ax.set_xscale('log', basex=2, subsx=range(2,9))
grid(b=True, which='minor')
I would have expected there to be minor ticks at 2^(-1:0
Hi everyone,
Just FYI, IPython just received $1.15 million in funding from the Alfred
P. Sloan Foundation to support development over the next 2 years.
Fernando talks more about this in his post to the IPython mailing list:
http://mail.scipy.org/pipermail/ipython-dev/2012-December/010799.html
Greetings,
With the help of sankey-toolbox, we can plot sankey-diagrams automaticly:
The position of a sankey-object is automaticly calculated based on the
position of its prior-object and cannot be given manually; and when a
sankey-diagram is initialized, the position of the first sankey-object w
